| Autor: |
Li, Wenbin, Cheng, Yiying, Zhong, Ning, Liu, TaiFeng, Zhang, Xindong |
| Zdroj: |
Active Media Technology; 2009, p376-384, 9p |
| Abstrakt: |
Spam filtering has witnessed a booming interest in the recent years, due to the increased abuse of email. This paper presents SpamTerminator, a personal anti-spam filtering add-in of Outlook. Outstanding characteristics of SpamTerminator are as follows. First, it provides eleven filters including rule-based, white lists, black lists, four single filters, and four ensemble filters. As a result, SpamTerminator can automatically work for users in different stages even if they do not train machine learning-based filters. Secondly, by using our proposed method named TPL (Two-Phases Learning) to combine multiple disparate classifiers, ensemble filters can achieve excellent discrimination between spam and legitimate mail. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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